Meet Davis, our radically different AI-engine

Automatically processes billions of dependences to serve up precise answers.

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Davis is purpose-built for today’s web-scale enterprise clouds

Complex

368B

dependencies analyzed by Davis per second.

Dynamic

8B

application topology changes are already processed by Dynatrace per day.

System health

100k

reduction of overall outage minutes is what Davis can help you achieve.

Precision you can rely on.

Dependency detection

Real-time
dependency detection and distributed tracing.

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Topology visualisation

Get a real-time map of your entire application stack across hybrid cloud environment.

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Anomaly detection

No configuration, no data scientists needed. Dynatrace detects issues automatically and reliably.

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Root cause analysis

Dynatrace AI is deterministic and identifies the actual root cause with unmatched precision.

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Business impact analysis

Determine the severity of an anomality in term of impacts to real users and business KPIs.

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AIOps

Use Davis to
automate operations and enable self-healing.

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Precise answers through high fidelity data

Rather than processing simple time-series data Davis uses high-fidelity metrics, traces, logs and real user data that are mapped to a unified entity model. Davis has the full picture at any moment by using both Dynatrace’s native OneAgent and its open API for ingesting 3rd party data.

Dynatrace dashboard

Davis is purpose-built AI

Davis uses deterministic AI which is a radically different approach to traditional machine learning. It performs an automatic fault-tree analysis, the same methodology NASA and the FAA are using. This is causation not correlation. The resulting root cause analysis is precise and reproducible step by step.

Dynatrace smartscape

At the core, to understand more

Davis sits at the core of Dynatrace, not bolted on as an afterthought. Therefore, our AI engine is part of every aspect of the platform. Davis processes any and all data, whether it comes from a mainframe, the infrastructure, a cloud platform or the CI/CD pipeline. This enables Davis to provide the granularity and precision needed to automate the enterprise cloud, unlike traditional AI.

Problem evolution

The Dynatrace AI has completely changed what I have to focus on. I don't do anything like incident management or SLA reporting anymore. Our group is now there to enable and help people go faster.”

Jay Cotton, Performance Engineer Lead at Kroger